Creating our first optimized DCGAN – Towards AI

Originally published on Towards AI. In this first article, we will use one of the simplest Datasets, made up of 28 x 28 images of handwritten numbers in grayscale. I suppose you all know that it is the very famous MNIST Dataset. While we are looking at the theory, we will see the code needed to make and train the GAN. Even though this is our first GAN, we will use several of the recommendations launched by Soumith Chintala, known as GAN Hacks. Thus, we will create a GAN correctly optimized for the Dataset used.